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This paper focuses on unit sizing of stand-alone hybrid energy system using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) and comparative performance study of these two meta-heuristic techniques on hybrid energy system. The hybrid system is designed focusing on the viability and combining different renewable energy sources like wind turbines, solar panels along with micro-hydro plant...
This is an encryption and decryption algorithm with the help of genetic functions cryptography. This new algorithm is developed for encryption and decryption process. This algorithm combines the features of Genetic Algorithm in Cryptography. Here we generate random numbers for “Crossover” and “Mutation”. The encryption and decryption algorithms will be made public. The algorithm contains a key, which...
A few variants of Differential Evolution (DE) technique have been implemented on short-term economic generation scheduling of hydrothermal systems. The performance of these variants of DE is demonstrated on a test system comprising of hydro and thermal units. A multi-reservoir cascaded hydrothermal system with non-linear relationship between water discharge rate, power generation and net head is taken...
This paper presents a new method for hyperspectral image classification. It combines support vector machine (SVM), particle swarm optimization (PSO), and genetic algorithm (GA) together. Its aim is to improve the classification accuracy and reduce the computation consumption based on heuristic algorithms. Because the classification accuracy is impacted by the parameters of the SVM model and feature...
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